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John C. S. Lui
- > Home > Persons > John C. S. Lui
Publications
- 2024
- [j226]Junzhou Zhao
, Pinghui Wang
, Wei Zhang, Zhaosong Zhang, Maoli Liu
, Jing Tao, John C. S. Lui
:
Tracking Influencers in Decaying Social Activity Streams With Theoretical Guarantees. IEEE/ACM Trans. Netw. 32(2): 1461-1476 (2024) - 2022
- [j188]Feiyang Sun
, Pinghui Wang
, Junzhou Zhao, Nuo Xu
, Juxiang Zeng, Jing Tao, Kaikai Song, Chao Deng, John C. S. Lui
, Xiaohong Guan:
Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns. IEEE Trans. Mob. Comput. 21(12): 4456-4470 (2022) - 2020
- [j165]Lin Lan
, Pinghui Wang, Junzhou Zhao
, Jing Tao, John C. S. Lui, Xiaohong Guan:
Improving network embedding with partially available vertex and edge content. Inf. Sci. 512: 935-951 (2020) - [c185]Junzhou Zhao, Pinghui Wang, Jing Tao, Shuo Zhang, John C. S. Lui:
Continuously Tracking Core Items in Data Streams with Probabilistic Decays. ICDE 2020: 769-780 - 2019
- [j151]Pinghui Wang
, Yiyan Qi, John C. S. Lui
, Don Towsley
, Junzhou Zhao, Jing Tao:
Inferring Higher-Order Structure Statistics of Large Networks from Sampled Edges. IEEE Trans. Knowl. Data Eng. 31(1): 61-74 (2019) - 2018
- [j140]Pinghui Wang
, Junzhou Zhao, Xiangliang Zhang
, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley
, Jing Tao, Xiaohong Guan:
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. IEEE Trans. Knowl. Data Eng. 30(1): 73-86 (2018) - 2016
- [i26]Pinghui Wang, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C. S. Lui, Don Towsley, Junzhou Zhao, Jing Tao, Xiaohong Guan:
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs. CoRR abs/1604.08691 (2016) - 2015
- [j118]Xiaobo Ma, Junjie Zhang, Zhenhua Li, Jianfeng Li, Jing Tao, Xiaohong Guan, John C. S. Lui, Don Towsley
:
Accurate DNS query characteristics estimation via active probing. J. Netw. Comput. Appl. 47: 72-84 (2015) - 2012
- [c97]Shuang Zhao, Patrick P. C. Lee
, John C. S. Lui, Xiaohong Guan, Xiaobo Ma, Jing Tao:
Cloud-based push-styled mobile botnets: a case study of exploiting the cloud to device messaging service. ACSAC 2012: 119-128

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